below marketmost similar roles pay hereabove market
This role pays less than
62%
of similar roles. Most pay
$155,300–$228,062
— the blue band above.
At the midpoint, this role pays about
$176k
versus about
$192k
for comparable roles.
Based on 240 similar postings.
Employer
About T-Mobile
T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications
T-Mobile currently has
72 open roles
on FindRole.
Listed pay typically runs
$138,996–$228,650
across 32 roles with salary data.
The Principal Data Engineer joins the T-Mobile Advertising Solutions team to build and operate platforms for audience building, rideshare, and retail media networks. This role involves leading the design and development of data warehouse and business analytics solutions, ensuring scalable infrastructure for a dynamic AdTech environment. You will own data solutions end-to-end, from architecture and modeling to implementation and delivery. Key responsibilities include developing data pipelines, mentoring engineers, and managing independent workstreams to solve complex migration and integration challenges. Required technical skills include Databricks DBRX, Snowflake, and cloud services such as EMR, Aurora, Redshift, Glue, S3, SWF, and Quicksight. Candidates must possess expertise in data architecture, engineering leadership, and cloud computing, while holding a required certification from AWS or Microsoft.
What does a Data Engineer earn?
Median $159000 from 203 postings across 58 companies.
Lead the design and development of scalable data warehouse and business analytics solutions.
Architect data solutions to meet specific business requirements and organizational goals.
Research and recommend technical approaches for complex data migration and integration challenges.
Provide hands-on leadership for data implementation projects and manage independent workstreams.
Mentor data engineers to improve their skills in data architecture and engineering practices.
Estimate, plan, and scope projects to assist team management with workload definition.
Build and deploy robust data pipelines using cloud technologies like Snowflake and Databricks.
What we're looking for
Bachelor's Degree in a technical field with 7 years of experience or an Advanced degree with 5 years of experience.
7-10 years of related experience as a Data Engineer.
5+ years of experience developing cloud solutions using data services.
Minimum 3+ years of experience managing, leading, or coaching data engineering teams.
Experience designing and building self-service analytics and big data solutions using cloud technologies like EMR, Aurora, Redshift, Glue, S3, SWF, or Quicksight.
Proficiency in Cloud Computing, Data Architecture, Data Engineering, Databricks DBRX, Engineering Leadership, Project Scoping, and Snowflake.
AWS Certified Solutions Architect, AWS Certified Cloud Practitioner, or Microsoft Certified Solutions Associate (MCSA) certification.